Plis S - Search Results

1

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data.

Aliper A, Plis S, Artemov A, Ulloa A, Mamoshina P, Zhavoronkov A. Aliper A, et al. Among authors: plis s. Mol Pharm. 2016 Jul 5;13(7):2524-30. doi: 10.1021/acs.molpharmaceut.6b00248. Epub 2016 Jun 8. Mol Pharm. 2016. PMID: 27200455 Free PMC article.

2

Quantitative EEG Biomarkers for Mild Traumatic Brain Injury.

Lewine JD, Plis S, Ulloa A, Williams C, Spitz M, Foley J, Paulson K, Davis J, Bangera N, Snyder T, Weaver L. Lewine JD, et al. Among authors: plis s. J Clin Neurophysiol. 2019 Jul;36(4):298-305. doi: 10.1097/WNP.0000000000000588. J Clin Neurophysiol. 2019. PMID: 31094883

3

Deep learning for neuroimaging: a validation study.

Plis SM, Hjelm DR, Salakhutdinov R, Allen EA, Bockholt HJ, Long JD, Johnson HJ, Paulsen JS, Turner JA, Calhoun VD. Plis SM, et al. Front Neurosci. 2014 Aug 20;8:229. doi: 10.3389/fnins.2014.00229. eCollection 2014. Front Neurosci. 2014. PMID: 25191215 Free PMC article.

4

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease.

Abrol A, Bhattarai M, Fedorov A, Du Y, Plis S, Calhoun V; Alzheimer’s Disease Neuroimaging Initiative. Abrol A, et al. Among authors: plis s. J Neurosci Methods. 2020 Jun 1;339:108701. doi: 10.1016/j.jneumeth.2020.108701. Epub 2020 Apr 8. J Neurosci Methods. 2020. PMID: 32275915 Free PMC article.

5

Tracking whole-brain connectivity dynamics in the resting state.

Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD. Allen EA, et al. Cereb Cortex. 2014 Mar;24(3):663-76. doi: 10.1093/cercor/bhs352. Epub 2012 Nov 11. Cereb Cortex. 2014. PMID: 23146964 Free PMC article.

6

Mesochronal Structure Learning.

Plis S, Danks D, Yang J. Plis S, et al. Uncertain Artif Intell. 2015 Jul 12;31:302. Uncertain Artif Intell. 2015. PMID: 27076793 Free PMC article.

7

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.

Jang H, Plis SM, Calhoun VD, Lee JH. Jang H, et al. Neuroimage. 2017 Jan 15;145(Pt B):314-328. doi: 10.1016/j.neuroimage.2016.04.003. Epub 2016 Apr 11. Neuroimage. 2017. PMID: 27079534 Free PMC article.

8

Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks.

Hjelm RD, Calhoun VD, Salakhutdinov R, Allen EA, Adali T, Plis SM. Hjelm RD, et al. Neuroimage. 2014 Aug 1;96:245-60. doi: 10.1016/j.neuroimage.2014.03.048. Epub 2014 Mar 28. Neuroimage. 2014. PMID: 24680869 Free PMC article.

9

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Arbabshirani MR, Plis S, Sui J, Calhoun VD. Arbabshirani MR, et al. Among authors: plis s. Neuroimage. 2017 Jan 15;145(Pt B):137-165. doi: 10.1016/j.neuroimage.2016.02.079. Epub 2016 Mar 21. Neuroimage. 2017. PMID: 27012503 Free PMC article. Review.

10

MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes.

Plis SM, Calhoun VD, Weisend MP, Eichele T, Lane T. Plis SM, et al. Front Neuroinform. 2010 Nov 11;4:114. doi: 10.3389/fninf.2010.00114. eCollection 2010. Front Neuroinform. 2010. PMID: 21120141 Free PMC article.

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